000789691 000__ 02938cam\a2200517M\\4500 000789691 001__ 789691 000789691 005__ 20230306143335.0 000789691 006__ m\\\\\o\\d\\\\\\\\ 000789691 007__ cr\un\nnnunnun 000789691 008__ 170606s2017\\\\sz\\\\\\ob\\\\000\0\eng\d 000789691 019__ $$a988941430$$a989550446$$a993591899$$a993775866 000789691 020__ $$a9783319582177$$q(electronic book) 000789691 020__ $$a3319582178$$q(electronic book) 000789691 020__ $$z331958216X 000789691 020__ $$z9783319582160 000789691 035__ $$aSP(OCoLC)ocn989035382 000789691 035__ $$aSP(OCoLC)989035382$$z(OCoLC)988941430$$z(OCoLC)989550446$$z(OCoLC)993591899$$z(OCoLC)993775866 000789691 040__ $$aYDX$$beng$$cYDX$$dN$T$$dEBLCP$$dGW5XE$$dN$T$$dOCLCF$$dUAB 000789691 049__ $$aISEA 000789691 050_4 $$aQA166.245 000789691 050_4 $$aQA75.5-76.95 000789691 08204 $$a518/.1$$223 000789691 08204 $$a004 000789691 1001_ $$aYan, Da. 000789691 24510 $$aSystems for big graph analytics /$$cDa Yan, Yuanyuan Tian, James Cheng. 000789691 260__ $$aCham :$$bSpringer,$$c2017. 000789691 300__ $$a1 online resource. 000789691 336__ $$atext$$btxt$$2rdacontent 000789691 337__ $$acomputer$$bc$$2rdamedia 000789691 338__ $$aonline resource$$bcr$$2rdacarrier 000789691 4901_ $$aSpringerBriefs in computer science,$$x2191-5768 000789691 504__ $$aIncludes bibliographical references. 000789691 5050_ $$a1 Introduction; Reference; Part I Think Like a Vertex; 2 Pregel-Like Systems; 2.1 Google's Pregel; 2.1.1 Computation Model; 2.1.2 Algorithm Design; 2.2 Pregel-Like Systems; 2.2.1 Communication Mechanism; 2.2.2 Load Balancing; 2.2.3 Out-of-Core Execution; 2.2.4 Fault Recovery; 2.2.5 On-Demand Querying; References; 3 Hands-On Experiences ; 3.1 Why Beginning with BigGraph@CUHK; 3.2 System Deployment and Running; 3.3 System Design and Basic Pregel API; 3.3.1 The ``utils'' Library; 3.3.2 The ``basic'' Library; 3.3.3 Summary; References; 4 Shared Memory Abstraction 000789691 5058_ $$a4.1 Programming Interface and Its Expressiveness4.2 GraphLab and PowerGraph; 4.2.1 GraphLab; 4.2.2 PowerGraph; 4.2.3 Maiter: An Accurate Asynchronous Model; 4.3 Single-PC Disk-Based Systems; 4.3.1 GraphChi; 4.3.2 X-Stream; 4.3.3 VENUS; 4.3.4 GridGraph; References; Part II Think Like a Graph; 5 Block-Centric Computation; 5.1 Comparison: Block-Centric vs. Vertex-Centric; 5.2 The Blogel System; 5.3 Get Started with Blogel; 5.3.1 Blogel Graph Partitioners; 5.3.2 Block-Centric API; References; 6 Subgraph-Centric Graph Mining; 6.1 Problem Definition and Existing Methods; 6.2 The G-Thinker System 000789691 506__ $$aAccess limited to authorized users. 000789691 588__ $$aDescription based on print version record. 000789691 650_0 $$aGraph algorithms. 000789691 650_0 $$aGraph theory$$xData processing. 000789691 7001_ $$aTian, Yuanyuan. 000789691 7001_ $$aCheng, James. 000789691 77608 $$iPrint version:$$z331958216X$$z9783319582160$$w(OCoLC)982513515 000789691 830_0 $$aSpringerBriefs in computer science. 000789691 852__ $$bebk 000789691 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-58217-7$$zOnline Access$$91397441.1 000789691 909CO $$ooai:library.usi.edu:789691$$pGLOBAL_SET 000789691 980__ $$aEBOOK 000789691 980__ $$aBIB 000789691 982__ $$aEbook 000789691 983__ $$aOnline 000789691 994__ $$a92$$bISE